As an AI researcher, what subjects do you find yourself referring to most often?
I think AI researcher mostly google some new papers because now there's just a crazy amount of them published. Sometimes people just forget the new concept which was introduced in a paper they read several months ago and they google that concept. Sometimes I forget some loss functions (and intuition behind them) used in a specific area like computer vision, natural language processing or audio processing. Like dice loss or contrastive losses. So these are more advanced things than pros and cons of L1 and L2 losses and how to code backprop. Usually I find the answers on https://distill.pub/ or https://towardsdatascience.com/. Have a look at those, I think they represent correctly current interests and topics for refreshment in AI research community. From my experience I can say not much statistics is used in contemporary AI research (unless you're doing research in statistical learning theory). Sometimes I google some statistical tests to prove results of my experiments are statistically significant and I think that's it.